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» Ensemble member selection using multi-objective optimization
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CEC
2010
IEEE
13 years 8 months ago
An analysis of clustering objectives for feature selection applied to encrypted traffic identification
This work explores the use of clustering objectives in a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, under the application...
Carlos Bacquet, A. Nur Zincir-Heywood, Malcolm I. ...
ICDAR
2007
IEEE
14 years 1 months ago
K-Nearest Oracle for Dynamic Ensemble Selection
For handwritten pattern recognition, multiple classifier system has been shown to be useful in improving recognition rates. One of the most important issues to optimize a multipl...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
LREC
2010
165views Education» more  LREC 2010»
13 years 9 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
MCS
2007
Springer
14 years 1 months ago
Stopping Criteria for Ensemble-Based Feature Selection
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
Terry Windeatt, Matthew Prior
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...